variables: 930675

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
930675 Female pupils below minimum reading proficiency at end of primary (%). Low GAML threshold %   2024-06-11 17:33:23 2024-07-08 17:29:05     2001-2016 6554   % 
{
    "unit": "%",
    "shortUnit": "%",
    "numDecimalPlaces": 1
}
 0     se_lpv_prim_bmp_fe grapher/wb/2024-06-10/gender_statistics/gender_statistics#se_lpv_prim_bmp_fe   2               **Long definition from World Bank:** This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments. **Source from World Bank:** Word Bank and UNESCO Institute for Statistics **License type from World Bank:** CC BY-4.0 **Notes from original source from World Bank:** For more information please see Azevedo, Joao Pedro, and others. 2019. "Will Every Child Be Able to Read by 2030? Why Eliminating Learning Poverty Will Be Harder Than You Think, and What to Do About It." World Bank Policy Research Working Paper series. Washington, DC: World Bank. https://datacatalog.worldbank.org/dataset/learning-poverty **World Bank variable id:** SE.LPV.PRIM.BMP.FE 
[]
         float 
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 84e85a2d860d988ec96fb3793ab53bce cfa463fc776416b87600f8ba87b0175b

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